Unknown

Dataset Information

Spatiotemporal trends and ecological determinants of human brucellosis among 31 provinces in mainland China, 2004-2021: a Bayesian spatiotemporal modeling study.


ABSTRACT:

Background

Brucellosis shows pronounced spatiotemporal heterogeneity in China, with changing epidemiological patterns as traditionally non-endemic southern regions experience increasing incidence. This study analyzes the spatiotemporal distribution and influencing factors of brucellosis in China to inform differentiated prevention strategies.

Methods

Using human brucellosis data from 31 Chinese provinces (2004-2021), combined with meteorological, socioeconomic, and livestock husbandry indicators, we developed Bayesian spatiotemporal models to analyze provincial-level spatial effects, temporal effects, spatiotemporal interactions, and quantify the impact of multiple factors on brucellosis incidence risk at the provincial scale. Richardson classification was applied for hotspo

SUBMITTER: Li W 

PROVIDER: S-EPMC12625324 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature